将字典转换为DataFrame并进行频次统计的方法

import pandas as pd
a={'one':['A','A','B','C','C','A','B','B','A','A'],
 'tao':['B','B','C','C','A','A','C','B','C','A'],
 'three':['C','B','A','A','B','B','B','A','C','D']}
b=pd.DataFrame(a)
b.describe()

 one tao three
0 A B C
1 A B B
2 B C A
3 C C A
4 C A B
5 A A B
6 B C B
7 B B A
8 A C C
9 A A D

 one tao three
count 10 10 10
unique 3 3 4
top A C B
freq 5 4 4